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Record W3160921113 · doi:10.1177/08404704211012027

Low-acuity emergency department use among patients in different primary care models in Hamilton and Ontario

2021· article· en· W3160921113 on OpenAlexafffundabout
Olivia Ly, David Price, Refik Saskin, Michelle Howard

Bibliographic record

VenueHealthcare Management Forum · 2021
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsMcMaster University
FundersOntario Ministry of Health and Long-Term Care
KeywordsCapitationEmergency departmentPrimary careEquity (law)MedicineFamily medicineHealth careNursingPolitical science

Abstract

fetched live from OpenAlex

Jurisdictions such as Hamilton, Ontario, where most primary care practices participate in patient enrolment models with enhanced after-hours access, may demonstrate overall improved health equity outcomes. Non-urgent Emergency Department (ED) use has been suggested as an indicator of primary care access; however, the impact of primary care access on ED use is uncertain and likely varies by patient and contextual factors. This population-based, retrospective study investigated whether or not different primary care models were associated with different rates of non-urgent ED visits in Hamilton, a city with relatively high neighbourhood marginalization, compared to the rest of Ontario from 2014/2015 to 2017/2018. In Ontario, enrolment capitation-based practices had more non-urgent ED visits than non-enrolment fee-for-service practices. In Hamilton, where most of the city's family physicians are in enrolment capitation-based practices, differences between models were minimal. The influence of primary care reforms may differ depending on how they are distributed within regions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.265
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2021
Admission routes3
Has abstractyes

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